META 2020 : Int. Conf. on Metaheuristics and Nature Inspired Computing

META'2020 welcomes presentations that cover any aspects of metaheuristic research such as new algorithmic developments, high-impact applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies. META'2018 strives for a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions. 

The scope of the META’2020 conference includes, but is not limited to: 
* Local search, tabu search, simulated annealing, VNS, ILS, … 
* Evolutionary algorithms, swarm optimization, scatter search, … 
* Emergent nature inspired algorithms: quantum computing, artificial immune systems, bee colony, DNA computing, … 
* Parallel algorithms 
* Hybrid methods with machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, … 
* Application to: logistics and transportation, networks, scheduling, data mining, engineering design, energy, cloud, bio-medical, … 
* Theory of metaheuristics, landscape analysis, convergence, problem difficulty, very large neighbourhoods, … 
* Multi-objective optimization, bi-level optimization 
* Dynamic optimization, problems with uncertainty, … 
* Parameter tuning (static, dynamic, adaptive, self-adaptive) 
* Hyper-heuristics, cross-domain metaheuristics 
* Software frameworks for metaheuristics and nature inspired computing